Luca Bertinetto
Impact in
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- Video Surveillance and Tracking Methods
- Visual Attention and Saliency Detection
- Human Pose and Action Recognition
- Image Enhancement Techniques
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
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- Fire Detection and Safety Systems
Papers in
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- Video Surveillance and Tracking Methods 5
- Visual Attention and Saliency Detection 3
- Advanced Image and Video Retrieval Techniques 2
- Image Enhancement Techniques 2
- Advanced Neural Network Applications 2
- Human Pose and Action Recognition 2
- Advanced Image Processing Techniques 1
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- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Philip H. S. Torr (5 shared papers)Andrea Vedaldi (2 shared papers)Jack Valmadre (2 shared papers)Weiming Hu (3 shared papers)Li Zhang (2 shared papers)Qiang Wang (1 shared paper)Qiang Wang (2 shared papers)João F. Henriques (1 shared paper)
- Journals
- PubMed (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)Oxford University Research Archive (ORA) (University of Oxford) (4 papers)2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)
- Partner nations
- United KingdomChinaGermany
In The Last Decade
Luca Bertinetto
8 papers receiving 2.3k citations
Luca Bertinetto's Hit Papers
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 2.1k
- Safety, Risk, Reliability and Quality 506
- Aerospace Engineering 567
- Global and Planetary Change 246
- Media Technology 87
Countries citing papers authored by Luca Bertinetto
This map shows the geographic impact of Luca Bertinetto's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Luca Bertinetto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Bertinetto more than expected).
Fields of papers citing papers by Luca Bertinetto
This network shows the impact of papers produced by Luca Bertinetto. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Luca Bertinetto. The network helps show where Luca Bertinetto may publish in the future.
Co-authors
The 17 scholars most cited alongside Luca Bertinetto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | End-to-end representation learning for Correlation Filter based tracking Hit paper breakdown → | 2017 | 1035 |
| 2 | Fast Online Object Tracking and Segmentation: A Unifying Approach Hit paper breakdown → | 2019 | 964 |
| 3 | Learning feed-forward one-shot learners | 2016 | 88 |
| 4 | 2019 | 69 | |
| 5 | 2022 | 67 | |
| 6 | 2023 | 62 | |
| 7 | 2022 | 11 | |
| 8 | 2021 | 2 |
About Luca Bertinetto
Luca Bertinetto is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Human-Computer Interaction and Infectious Diseases, having authored 8 papers that have together received 2.3k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (5 papers), Visual Attention and Saliency Detection (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Image Enhancement Techniques (2 papers), Advanced Neural Network Applications (2 papers), Human Pose and Action Recognition (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Image Processing Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (2.1k citations), Safety, Risk, Reliability and Quality (506 citations), Aerospace Engineering (567 citations), Global and Planetary Change (246 citations) and Media Technology (87 citations). Luca Bertinetto has collaborated with scholars based in United Kingdom, China and Germany. Frequent co-authors include Philip H. S. Torr, Andrea Vedaldi, Jack Valmadre, Weiming Hu, Li Zhang, Qiang Wang, Qiang Wang, João F. Henriques, Ismail Ben Ayed and Song Bai. Their work appears in journals such as PubMed, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Oxford University Research Archive (ORA) (University of Oxford) and 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.